南京理工大学学报（自然科学版）2016，Vol.40Issue(2)：183-189,7.DOI:10.14177/j.cnki.32-1397n.2016.40.02.009
基于连续回归的无线传感器网络多跳定位算法
Multi-hop localization algorithm based on continuum regression for wireless sensor network
摘要
Abstract
In order to overcome the problem that the traditional multi-hop localization algorithm is vulnerable to the network anisotropy effects leading positioning performance unstable, a mapping between the number of hops and the Euclidean distance is constructed to model the positioning process as a continuum regression. The theoretical analysis and practical results show that the improved algorithm can solve heteroscedasticity problems and improve the positioning accuracy with avoiding the influence of anisotropy on the algorithm performance network topology,and has the less calculation cost and parameters,thus it is suitable for the node uneven distribution of wireless sensor networks with high engineering value.关键词
无线传感器网络/定位/各向异性/连续回归Key words
wireless sensor network/localization/anisotropy/continuum regression分类
信息技术与安全科学引用本文复制引用
李明,钱焕延,徐江..基于连续回归的无线传感器网络多跳定位算法[J].南京理工大学学报（自然科学版）,2016,40(2):183-189,7.基金项目
国家自然科学基金(71401052) （71401052）
